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This paper introduces a novel means of converting the NL-to-Action problem from a generative one into a classification-centric formulation via on-device operation caches via on-device operation caches that allow an agentic system to handle frequently occurring classes of actions completely on-device -- reducing latency...
Activation steering suppresses undesired behaviors in language models by adding a steering vector to the hidden state during generation. Recent conditional methods such as CAST and DSAS improve the behavior-capability trade-off by deciding when to intervene, but once active, they apply the full dense vector to all hidd...
This work filters app reviews for privacy- and security-related content, yielding a comprehensive corpus of over 600K reviews, and introduces TaxoScale, a pipeline that handles taxonomy construction at this scale by extending an expert-defined taxonomy via Recursive Hierarchical Clustering and LLM-based node naming.
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